Siqi Xie, Xiaojin Zhuang, Lan Liu, Yifan Fang, Bing Zhang
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引用次数: 0
摘要
本研究旨在探讨孕妇孕前体重指数(BMI)与先天性肠畸形(CMI)的因果关系。BMI和CMI的全基因组关联数据通过孟德尔随机化(MR)基础平台获得。鉴定与女性BMI显著相关的单核苷酸多态性(snp),并将其作为工具变量,采用双向双样本MR分析研究方法检验女性BMI与CMI之间的因果关系。采用反方差加权(IVW)法、加权中位数估计法和MR-Egger回归3种统计方法。本研究共发现36个与女性BMI显著相关的snp (P < 5 × 10−8;连锁不平衡r2 < 0.001)。采用不同方法评估女性BMI与CMI之间存在一致的相关性(IVW:优势比(OR) 0.364, 95%可信区间(CI) 0.144-0.922;加权中位数估计:OR 0.395, 95% CI 0.096-1.619;MR-Egger方法:OR 0.244, 95% CI 0.020-2.974),表明女性BMI与CMI风险增加呈负相关。磁共振分析提供了强有力的证据,表明女性BMI下降可能与CMI的风险有因果关系。
Genetically predicted maternal prepregnancy BMI increased risk of childhood intestinal malformation: evidence from a Mendelian randomization study.
The study aimed to explore the causal effect of maternal prepregnancy body mass index (BMI) on congenital malformations of intestine (CMI). The genome-wide association data of BMI and CMI were obtained via the Mendelian randomization (MR) base platform. Single nucleotide polymorphisms (SNPs) significantly associated with BMI in females were identified and used as instrumental variables, and the causal relationship between BMI in females and CMI was examined using the bidirectional two-sample MR analyses research method. Three statistical methods including inverse-variance weighted (IVW) method, weighted median estimator, and MR-Egger regression were employed. A total of 36 SNPs significantly associated with BMI in females were identified in the study (P < 5 × 10−8; linkage disequilibrium r2 < 0.001). Consistent association between BMI in females and CMI was observed when evaluated by different methods (IVW: odds ratio (OR) 0.364, 95% confidence interval (CI) 0.144–0.922; weighted median estimator: OR 0.395, 95% CI 0.096–1.619; MR-Egger Method: OR 0.244, 95% CI 0.020–2.974), which suggests that BMI in females is negatively associated with increased risk of CMI. The MR analysis provided the strong evidence to indicate that decreasing BMI in females might be causally associated with the risk of CMI.
期刊介绍:
JDOHaD publishes leading research in the field of Developmental Origins of Health and Disease (DOHaD). The Journal focuses on the environment during early pre-natal and post-natal animal and human development, interactions between environmental and genetic factors, including environmental toxicants, and their influence on health and disease risk throughout the lifespan. JDOHaD publishes work on developmental programming, fetal and neonatal biology and physiology, early life nutrition, especially during the first 1,000 days of life, human ecology and evolution and Gene-Environment Interactions.
JDOHaD also accepts manuscripts that address the social determinants or education of health and disease risk as they relate to the early life period, as well as the economic and health care costs of a poor start to life. Accordingly, JDOHaD is multi-disciplinary, with contributions from basic scientists working in the fields of physiology, biochemistry and nutrition, endocrinology and metabolism, developmental biology, molecular biology/ epigenetics, human biology/ anthropology, and evolutionary developmental biology. Moreover clinicians, nutritionists, epidemiologists, social scientists, economists, public health specialists and policy makers are very welcome to submit manuscripts.
The journal includes original research articles, short communications and reviews, and has regular themed issues, with guest editors; it is also a platform for conference/workshop reports, and for opinion, comment and interaction.